Copyright © 2005 Elsevier B.V. All rights reserved.This paper describes the application of the adaptive whitening filter and the wavelet transform used to detect the abrupt changes in the signals recorded during disturbances in the electrical power network in South Africa. Main focus has been to estimate exactly the time-instants of the changes in the signal model parameters during the pre-fault condition and following events like initiation of fault, circuit-breaker opening, auto-reclosure of the circuit-breakers. The key idea is to decompose the fault signals, de-noised using the adaptive whitening filter, into effective detailed and smoothed version using the multiresolution signal decomposition technique based on discrete wavelet transf...
Abstract − The paper presents the application of discrete wavelet transform to the detection of swit...
Detection of major faults in power transformers during impulse tests has never been an issue, but is...
This dissertation presents an algorithm for fault detection and classification in transmission lines...
Abrupt change detection based on the wavelet transform and threshold method is very effective in det...
"This material is presented to ensure timely dissemination of scholarly and technical work. Copyrigh...
Abstract—This paper describes the application of the abrupt change detection technologies to detect ...
Copyright © 2006 IEEEDetection of abrupt changes in the signal parameters can be used to segment the...
Voltage variations are the most common power quality events that may result in corruption of differe...
To analyse power system fault events captured by disturbance recorders the sampled analogue waveform...
Summary: Detection and segmentation of a nonstationary process consist of assuming piecewise station...
This paper deals with the transient detection method utilizing the wavelet transform, which proved t...
Power system is constantly exposed to disturbances of varying intensity and cascading propagation of...
In order to enhance the reliability of power systems, a continuous monitoring of the network to dete...
AbstractPower system is constantly exposed to disturbances of varying intensity and cascading propag...
Copyright © 2008 Elsevier B.V.This paper describes the application of the recursive parameter estima...
Abstract − The paper presents the application of discrete wavelet transform to the detection of swit...
Detection of major faults in power transformers during impulse tests has never been an issue, but is...
This dissertation presents an algorithm for fault detection and classification in transmission lines...
Abrupt change detection based on the wavelet transform and threshold method is very effective in det...
"This material is presented to ensure timely dissemination of scholarly and technical work. Copyrigh...
Abstract—This paper describes the application of the abrupt change detection technologies to detect ...
Copyright © 2006 IEEEDetection of abrupt changes in the signal parameters can be used to segment the...
Voltage variations are the most common power quality events that may result in corruption of differe...
To analyse power system fault events captured by disturbance recorders the sampled analogue waveform...
Summary: Detection and segmentation of a nonstationary process consist of assuming piecewise station...
This paper deals with the transient detection method utilizing the wavelet transform, which proved t...
Power system is constantly exposed to disturbances of varying intensity and cascading propagation of...
In order to enhance the reliability of power systems, a continuous monitoring of the network to dete...
AbstractPower system is constantly exposed to disturbances of varying intensity and cascading propag...
Copyright © 2008 Elsevier B.V.This paper describes the application of the recursive parameter estima...
Abstract − The paper presents the application of discrete wavelet transform to the detection of swit...
Detection of major faults in power transformers during impulse tests has never been an issue, but is...
This dissertation presents an algorithm for fault detection and classification in transmission lines...